Recognizing and monitoring infectious sources of schistosomiasis by developing deep learning models with high-resolution remote sensing images

ConclusionThe ENVINet5 model is very feasible when the bovine distribution is low in structure with few samples. The Mask R-CNN model has a good framework design and runs highly efficiently. The livestock recognition models developed using deep learning methods with high-resolution remote sensing images accurately recognize the spatial distribution of livestock, which could enable precise control of schistosomiasis.Graphical Abstract
Source: Infectious Diseases of Poverty - Category: Infectious Diseases Source Type: research